"SNR in X-ray Imaging: Calculating & Effects

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SUMMARY

The discussion focuses on calculating the Signal-to-Noise Ratio (SNR) in X-ray imaging using an ideal digital detector exposed to a dose of 5 µGy, with a mean pixel value of 100 and a standard deviation of 5. The correct formula for SNR is μ/σ, where μ is the mean pixel value and σ is the standard deviation. Applying a linear gain of factor 4 increases both the signal and noise equally, leaving the SNR unchanged. The confusion arises from the incorrect interpretation of SNR as N/√N, which is not applicable in this context.

PREREQUISITES
  • Understanding of Signal-to-Noise Ratio (SNR) in imaging
  • Familiarity with digital detectors and quantum noise
  • Basic knowledge of statistical concepts such as mean and standard deviation
  • Awareness of linear gain effects in imaging systems
NEXT STEPS
  • Study the mathematical derivation of SNR using μ/σ
  • Explore the impact of quantum noise on digital imaging systems
  • Investigate the effects of linear gain on SNR in various imaging modalities
  • Review advanced statistical methods for noise analysis in imaging
USEFUL FOR

Radiologists, imaging scientists, and engineers involved in X-ray imaging and signal processing who seek to understand and optimize SNR calculations.

BobP
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Homework Statement


(1) An ideal digital detector only suffers from quantum noise. If, after being exposed to 5 µGy the mean pixel value in the image is 100 and the standard deviation of the pixel values in the image is 5, calculate the SNR?

The relationship between pixel value and detector dose is linear.

(2) What is the effect on SNR of applying a linear gain of factor 4 to increase all pixel values

Homework Equations

The Attempt at a Solution



As I understand SNR = N/sqrt(N) so I would have said SNR = 10
But I don't understand why they gave the S.D value of 5...

Re part (2) I thought SNR was unaffected by gain as both noise and signal would increase by the same amount

But I am not sure about either answer.
Thanks for the help
 
BobP said:

Homework Statement


(1) An ideal digital detector only suffers from quantum noise. If, after being exposed to 5 µGy the mean pixel value in the image is 100 and the standard deviation of the pixel values in the image is 5, calculate the SNR?

The relationship between pixel value and detector dose is linear.

(2) What is the effect on SNR of applying a linear gain of factor 4 to increase all pixel values

Homework Equations

The Attempt at a Solution



As I understand SNR = N/sqrt(N) so I would have said SNR = 10
But I don't understand why they gave the S.D value of 5...

Re part (2) I thought SNR was unaffected by gain as both noise and signal would increase by the same amount

But I am not sure about either answer.
Thanks for the help
SNR is defined in different ways for different purposes. I can't think of a purpose for which it would take the form N/√N. (Why doesn't that collapse to √N? Are the two Ns different?)
The form μ/σ given at https://en.m.wikipedia.org/wiki/Signal-to-noise_ratio#Alternative_definition looks appropriate.
Of course, for a given arrangement, if you just vary the sample size N then you will get something proportional to √N, but not simply equal to it.
 

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